169 results match your criteria: "Centre for Outcome and Resource Evaluation[Affiliation]"

What is the Association With Dissociation?-Reply.

JAMA Neurol

December 2018

Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology & Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, The Alfred Centre, Melbourne, Victoria, Australia.

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Out With the Old, in With the New: The Improved Prognosis of Critically Ill Patients With Cirrhosis.

Crit Care Med

October 2018

AW Morrow Gastroenterology and Liver Centre, Australian National Liver Transplant Unit, Royal Prince Alfred Hospital, Sydney, NSW, Australia Department of Gastroenterology, The Alfred Hospital, Melbourne, VIC, Australia Australian and New Zealand Intensive Care Research Centre (ANZIC RC), Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia, and ANZICS Centre for Outcome and Resource Evaluation (CORE), Melbourne, VIC, Australia, and Department of Intensive Care, The Alfred Hospital, Melbourne, VIC, Australia.

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Objectives: To evaluate knowledge translation after publication of the target temperature management 33°C versus 36°C after out-of-hospital cardiac arrest trial and associated patient outcomes. Our primary hypothesis was that target temperature management at 36°C was rapidly adopted in Australian and New Zealand ICUs. Secondary hypotheses were that temporal reductions in mortality would be seen and would have accelerated after publication of the target temperature management trial.

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Background: Early hyperoxia may be an independent risk factor for mortality in critically ill traumatic brain injury (TBI) patients, although current data are inconclusive. Accordingly, we conducted a retrospective cohort study to determine the association between systemic oxygenation and in-hospital mortality, in critically ill mechanically ventilated TBI patients.

Methods: Data were extracted from the Australian and New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation Adult Patient Database.

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Background: A multidisciplinary collaboration investigated the world's largest, most catastrophic epidemic thunderstorm asthma event that took place in Melbourne, Australia, on Nov 21, 2016, to inform mechanisms and preventive strategies.

Methods: Meteorological and airborne pollen data, satellite-derived vegetation index, ambulance callouts, emergency department presentations, and data on hospital admissions for Nov 21, 2016, as well as leading up to and following the event were collected between Nov 21, 2016, and March 31, 2017, and analysed. We contacted patients who presented during the epidemic thunderstorm asthma event at eight metropolitan health services (each including up to three hospitals) via telephone questionnaire to determine patient characteristics, and investigated outcomes of intensive care unit (ICU) admissions.

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Objective: The cluster randomised crossover (CRXO) design provides an opportunity to conduct randomised controlled trials to evaluate low risk interventions in the intensive care setting. Our aim is to provide a tutorial on how to perform a sample size calculation for a CRXO trial, focusing on the meaning of the elements required for the calculations, with application to intensive care trials.

Data Sources: We use all-cause in-hospital mortality from the Australian and New Zealand Intensive Care Society Adult Patient Database clinical registry to illustrate the sample size calculations.

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The systemic inflammatory response syndrome criteria and their differential association with mortality.

J Crit Care

August 2018

Australian and New Zealand Intensive Care Research Centre (ANZIC RC), School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Intensive Care Unit, Austin Health, Heidelberg, Australia. Electronic address:

Purpose: Despite the recent Sepsis-3 consensus, the Systemic Inflammatory Response Syndrome (SIRS) criteria continue to be assessed and recommended. Such use implies equivalence and interchangeability of criteria. Thus, we aimed to test whether such criteria are indeed equivalent and interchangeable.

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Association of Hypercapnia and Hypercapnic Acidosis With Clinical Outcomes in Mechanically Ventilated Patients With Cerebral Injury.

JAMA Neurol

July 2018

Australian and New Zealand Intensive Care Research Center, Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, The Alfred Centre, Melbourne Victoria, Australia.

Importance: Clinical studies investigating the effects of hypercapnia and hypercapnic acidosis in acute cerebral injury are limited. The studies performed so far have mainly focused on the outcomes in relation to the changes in partial pressure of carbon dioxide and pH in isolation and have not evaluated the effects of partial pressure of carbon dioxide and pH in conjunction.

Objective: To review the association of compensated hypercapnia and hypercapnic acidosis during the first 24 hours of intensive care unit admission on hospital mortality in adult mechanically ventilated patients with cerebral injury.

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Early glycemia and mortality in critically ill septic patients: Interaction with insulin-treated diabetes.

J Crit Care

June 2018

Department of Intensive Care, Austin Hospital, Melbourne, Australia; Australian and New Zealand Intensive Care Research Centre (ANZIC RC), School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; School of Medicine, The University of Melbourne, Melbourne, Australia; Department of Intensive Care, Royal Melbourne Hospital, Melbourne, Australia. Electronic address:

Purpose: To investigate the relationship between dysglycemia and hospital mortality in patients with and without a preadmission diagnosis of insulin treated diabetes mellitus (ITDM).

Materials And Methods: An observational multicentre cohort study using the ANZICS-APD database on adult patients admitted to ICU with sepsis between January 1st 2006 and December 31st 2015. Four domains of dysglycemia were investigated (highest, mean and lowest blood glucose levels and glycemic variability: the absolute difference between the highest and lowest level).

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Acute Risk Change: An Innovative Measure of Operative Adverse Events and Perioperative Team Performance.

J Cardiothorac Vasc Anesth

October 2018

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia; Department of Intensive Care, The Alfred Hospital, Melbourne, Australia; Australian and New Zealand Intensive Care Society (ANZICS), Centre for Outcome and Resource Evaluation (CORE), Ievers Terrace, Carlton, VIC, Australia.

Objectives: Cardiac surgical risk models predict mortality preoperatively, whereas intensive care unit (ICU) models predict mortality postoperatively. Finding a large difference between the 2 (an acute risk change [ARC]) may reflect an alteration in the status of the patient related to the surgery. An adverse ARC was associated with morbidity and mortality in an Australian population.

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Background: The majority of organ donations in Australia occur in the DonateLife Network of hospitals, but limited monitoring at other sites may allow donation opportunities to be missed. Our aim was to estimate expected donor numbers using routinely collected data from the Australian and New Zealand Intensive Care Society Adult Patient Database and determine whether unrecognized potential donors might exist in non-DonateLife hospitals.

Methods: All deaths at 150 Australian intensive care units (ICUs) contributing to the Australian and New Zealand Intensive Care Society Adult Patient Database were analyzed between January 2010 and December 2015.

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Characteristics, incidence, and outcome of patients admitted to the intensive care unit with myasthenia gravis.

J Crit Care

June 2018

Department of Intensive Care, Austin Hospital, Heidelberg, Melbourne, Australia; Australian and New Zealand Intensive Care Research Centre, Monash University School of Public Health and Preventive Medicine, Alfred Hospital, Commercial Rd, Melbourne, Australia. Electronic address:

Background: There are limited data on the characteristics, incidence, and mortality of patients with myasthenia gravis (MG) admitted to the ICU.

Aims: To study the epidemiology, characteristics and outcome of patients with MG in Australian and New Zealand (ANZ) ICUs over a decade.

Methods: We performed a retrospective observational, cross sectional study of data from the Australian and New Zealand Intensive Care Society (ANZICS) Adult Patient Database (APD).

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Objectives: To assess whether a national standard for improving care of deteriorating patients affected ICU admissions following cardiac arrests from hospital wards.

Design: Retrospective study assessing changes from baseline (January 1, 2008, to June 30, 2010), rollout (July 1, 2010, to December 31, 2012), and after (January 1, 2013, to 31 December 31, 2014) national standard introduction. Conventional inferential statistics, interrupted time series analysis, and adjusted hierarchical multiple logistic regression analysis.

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Purpose: The Sepsis-3 consensus task force defined sepsis as life-threatening organ dysfunction caused by dysregulated host response to infection. However, the clinical criteria for this definition were neither designed for nor validated in children. We validated the performance of SIRS, age-adapted SOFA, quick SOFA and PELOD-2 scores as predictors of outcome in children.

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Patient characteristics, incidence, technique, outcomes and early prediction of tracheostomy in the state of Victoria, Australia.

J Crit Care

April 2018

Intensive Care Unit, The Austin Hospital, Studley Rd, Heidelberg, Victoria, Australia; School of Medicine, University of Melbourne, Victoria, Australia; Intensive Care Unit, Royal Melbourne Hospital, Grattan St, Carlton, Victoria, Australia.

Background: Tracheostomy is a relatively common procedure in Intensive Care Unit (ICU) patients.

Aims: To study the patient characteristics, incidence, technique, outcomes and prediction of tracheostomy in the State of Victoria, Australia.

Methods: We used data from the Australian and New Zealand Intensive Care Society Adult Patient Database (ANZICS APD) and the Victorian Admitted Episode Dataset (VAED) to identify and match patients who had received a tracheostomy from 2004 to 2014.

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Background: The inflammatory response to surgery varies considerably between individual patients. Age might be a substantial factor in this variability. Our objective was to examine the association of patient age and other potential risk factors with the occurrence of a postoperative systemic inflammatory response syndrome, during the first 24 h after cardiac surgery.

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Measuring the quality of perioperative care in cardiac surgery.

Eur Heart J Qual Care Clin Outcomes

January 2017

Department of Intensive Care, The Alfred Hospital, 55 Commercial Rd, Melbourne, Victoria 3004, Australia.

Quality of care is of increasing importance in health and surgical care. In order to maintain and improve quality, we must be able to measure it and identify variation. In this narrative review, we aim to identify measures used in the assessment of quality of care in cardiac surgery and to evaluate their utility.

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Central line-associated bloodstream infections (CLABSIs) in intensive care units (ICUs) result in poor clinical outcomes and increased costs. Although frequently regarded as preventable, infection risk may be influenced by non-modifiable factors. The objectives of this study were to evaluate organisational factors associated with CLABSI in Victorian ICUs to determine the nature and relative contribution of modifiable and non-modifiable risk factors.

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Purpose: A hospital's highest-risk patients are managed in the intensive care unit. Outcomes are determined by patients' severity of illness, existing comorbidities and by processes of care delivered. The Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation (CORE) manages a binational clinical registry to benchmark performance, and report and assess ICUs which appear to have worse outcomes than others.

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Background: In a cluster randomised crossover (CRXO) design, a sequence of interventions is assigned to a group, or 'cluster' of individuals. Each cluster receives each intervention in a separate period of time, forming 'cluster-periods'. Sample size calculations for CRXO trials need to account for both the cluster randomisation and crossover aspects of the design.

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